August 2021 Archives by author

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Starting: Mon Aug 2 02:17:30 CEST 2021
Ending: Tue Aug 31 21:36:43 CEST 2021
Messages: 153

• [R-meta] Aktuell nicht am Arbeitsplatz   Ludwig Andrione
• [R-meta] Aktuell nicht am Arbeitsplatz   Ludwig Andrione
• [R-meta] Aktuell nicht am Arbeitsplatz   Ludwig Andrione
• [R-meta] Aktuell nicht am Arbeitsplatz   Ludwig Andrione
• [R-meta] weighting a multilevel model and quality effects model   Diego Grados Bedoya
• [R-meta] robust variance estimation with small number of elements within the cluster   Diego Grados Bedoya
• [R-meta] robust variance estimation with small number of elements within the cluster   Diego Grados Bedoya
• [R-meta] correlation between pre and post test?   Mike Cheung
• [R-meta] Subgroup analyses   David Cicchetti
• [R-meta] Subgroup analyses   David Cicchetti
• [R-meta] Difference between univariate and multivariate parameterization   Norman DAURELLE
• [R-meta] Publication bias with multivariate meta analysis   Norman DAURELLE
• [R-meta] Publication bias with multivariate meta analysis   Norman DAURELLE
• [R-meta] Publication bias with multivariate meta analysis   Norman DAURELLE
• [R-meta] Wald_test error   Michael Dewey
• [R-meta] metafor: Categorizing a continuous moderator in random part of rma.mv   Michael Dewey
• [R-meta] metafor: Categorizing a continuous moderator in random part of rma.mv   Michael Dewey
• [R-meta] correlation between pre and post test?   Michael Dewey
• [R-meta] escalc error interpretation   Michael Dewey
• [R-meta] Publication bias with multivariate meta analysis   Michael Dewey
• [R-meta] Error - assigned vs existing data   Michael Dewey
• [R-meta] Meta-regression in network meta-analysis   Natan Gosmann
• [R-meta] Meta-regression in network meta-analysis   Natan Gosmann
• [R-meta] Guidance for interpreting fixed effects in multilevel models   Simon Harmel
• [R-meta] Guidance for interpreting fixed effects in multilevel models   Simon Harmel
• [R-meta] Adding random effect to SCE models   Farzad Keyhan
• [R-meta] Adding random effect to SCE models   Farzad Keyhan
• [R-meta] Difference between univariate and multivariate parameterization   Farzad Keyhan
• [R-meta] Difference between univariate and multivariate parameterization   Farzad Keyhan
• [R-meta] Difference between "GEN" and "UN" in metafor   Farzad Keyhan
• [R-meta] Difference between "GEN" and "UN" in metafor   Farzad Keyhan
• [R-meta] Alternative view of fixed effects in meta-regression   Farzad Keyhan
• [R-meta] Alternative view of fixed effects in meta-regression   Farzad Keyhan
• [R-meta] 3 candidate random structures   Timothy MacKenzie
• [R-meta] 3 candidate random structures   Timothy MacKenzie
• [R-meta] 3 candidate random structures   Timothy MacKenzie
• [R-meta] 3 candidate random structures   Timothy MacKenzie
• [R-meta] Alternative view of fixed effects in meta-regression   Timothy MacKenzie
• [R-meta] Can random-effects answer research questions in meta-analysis?   Luke Martinez
• [R-meta] Can random-effects answer research questions in meta-analysis?   Luke Martinez
• [R-meta] metafor: Categorizing a continuous moderator in random part of rma.mv   Luke Martinez
• [R-meta] metafor: Categorizing a continuous moderator in random part of rma.mv   Luke Martinez
• [R-meta] Difference between univariate and multivariate parameterization   Luke Martinez
• [R-meta] Difference between univariate and multivariate parameterization   Luke Martinez
• [R-meta] Difference between univariate and multivariate parameterization   Luke Martinez
• [R-meta] Difference between univariate and multivariate parameterization   Luke Martinez
• [R-meta] Difference between univariate and multivariate parameterization   Luke Martinez
• [R-meta] Difference between univariate and multivariate parameterization   Luke Martinez
• [R-meta] Model with intercept gives 0 heterogeneity but without intercept is ok   Luke Martinez
• [R-meta] Model with intercept gives 0 heterogeneity but without intercept is ok   Luke Martinez
• [R-meta] Model with intercept gives 0 heterogeneity but without intercept is ok   Luke Martinez
• [R-meta] Model with intercept gives 0 heterogeneity but without intercept is ok   Luke Martinez
• [R-meta] correlation between pre and post test?   Reza Norouzian
• [R-meta] correlation between pre and post test?   Reza Norouzian
• [R-meta] MLMA - shared control group   Reza Norouzian
• [R-meta] MLMA - shared control group   Reza Norouzian
• [R-meta] Demonstrations on metafor website   Reza Norouzian
• [R-meta] Demonstrations on metafor website   Reza Norouzian
• [R-meta] MLMA - shared control group   Reza Norouzian
• [R-meta] MLMA - shared control group   Reza Norouzian
• [R-meta] Distinguishing between the design of longitudinal studies   Reza Norouzian
• [R-meta] dependency and correlations for subgroups   Cátia Ferreira De Oliveira
• [R-meta] Wald_test error   Cátia Ferreira De Oliveira
• [R-meta] Wald_test error   Cátia Ferreira De Oliveira
• [R-meta] Wald_test error   Cátia Ferreira De Oliveira
• [R-meta] Wald_test error   Cátia Ferreira De Oliveira
• [R-meta] Wald_test error   Cátia Ferreira De Oliveira
• [R-meta] robumeta and wald_test   Cátia Ferreira De Oliveira
• [R-meta] Wald_tests - are these the same or different model?   Cátia Ferreira De Oliveira
• [R-meta] I2 for a multilevel model with subsets   Tharaka S. Priyadarshana
• [R-meta] I2 for a multilevel model with subsets   Tharaka S. Priyadarshana
• [R-meta] Adding random effect to SCE models   James Pustejovsky
• [R-meta] Adding random effect to SCE models   James Pustejovsky
• [R-meta] 3 candidate random structures   James Pustejovsky
• [R-meta] Wald_test error   James Pustejovsky
• [R-meta] 3 candidate random structures   James Pustejovsky
• [R-meta] Wald_test error   James Pustejovsky
• [R-meta] catching errors in batch meta-analyses   James Pustejovsky
• [R-meta] 3 candidate random structures   James Pustejovsky
• [R-meta] Effect size measure for count data   James Pustejovsky
• [R-meta] robust variance estimation with small number of elements within the cluster   James Pustejovsky
• [R-meta] Wald_tests - are these the same or different model?   James Pustejovsky
• [R-meta] clubSandwich for variance components   James Pustejovsky
• [R-meta] clubSandwich for variance components   James Pustejovsky
• [R-meta] Distinguishing between the design of longitudinal studies   James Pustejovsky
• [R-meta] Distinguishing between the design of longitudinal studies   Stefanou Revesz
• [R-meta] clubSandwich for variance components   Stefanou Revesz
• [R-meta] clubSandwich for variance components   Stefanou Revesz
• [R-meta] clubSandwich for variance components   Stefanou Revesz
• [R-meta] Distinguishing between the design of longitudinal studies   Stefanou Revesz
• [R-meta] Distinguishing between the design of longitudinal studies   Stefanou Revesz
• [R-meta] Question on combining means with robumeta   Dr. Gerta Rücker
• [R-meta] effect size transformation for network MA   Dr. Gerta Rücker
• [R-meta] Publication bias with multivariate meta analysis   Dr. Gerta Rücker
• [R-meta] Publication bias with multivariate meta analysis   Dr. Gerta Rücker
• [R-meta] Question on combining means with robumeta   Tobias Saueressig
• [R-meta] Question on combining means with robumeta   Tobias Saueressig
• [R-meta] Question on combining means with robumeta   Tobias Saueressig
• [R-meta] Re: Question on combining means with robumeta   Tobias Saueressig
• [R-meta] RE: RE: Question on combining means with robumeta   Tobias Saueressig
• [R-meta] Effect size measure for count data   Sarah Schaefer
• [R-meta] Visual for 3-level models: Any suggestion for improvement?   Jack Solomon
• [R-meta] Adding random effect to SCE models   Jack Solomon
• [R-meta] Can random-effects answer research questions in meta-analysis?   Jack Solomon
• [R-meta] Guidance for interpreting fixed effects in multilevel models   Jack Solomon
• [R-meta] 3 candidate random structures   Jack Solomon
• [R-meta] metafor: Categorizing a continuous moderator in random part of rma.mv   Jack Solomon
• [R-meta] Extractable objects from an rma.mv() objects   Jack Solomon
• [R-meta] Extractable objects from an rma.mv() objects   Jack Solomon
• [R-meta] Alternative view of fixed effects in meta-regression   Lukasz Stasielowicz
• [R-meta] catching errors in batch meta-analyses   Philippe Tadger
• [R-meta] Subgroup analyses   Philippe Tadger
• [R-meta] correlation between pre and post test?   Philippe Tadger
• [R-meta] correlation between pre and post test?   Philippe Tadger
• [R-meta] escalc error interpretation   Philippe Tadger
• [R-meta] effect size transformation for network MA   Philippe Tadger
• [R-meta] effect size transformation for network MA   Philippe Tadger
• [R-meta] MLMA - shared control group   Jorge Teixeira
• [R-meta] MLMA - shared control group   Jorge Teixeira
• [R-meta] MLMA - shared control group   Jorge Teixeira
• [R-meta] MLMA - shared control group   Jorge Teixeira
• [R-meta] Meta-regression in network meta-analysis   Torbahn, Gabriel
• [R-meta] Error - assigned vs existing data   John Tully
• [R-meta] Meta-regression in network meta-analysis   Viechtbauer, Wolfgang (SP)
• [R-meta] Question on combining means with robumeta   Viechtbauer, Wolfgang (SP)
• [R-meta] Extractable objects from an rma.mv() objects   Viechtbauer, Wolfgang (SP)
• [R-meta] Question on combining means with robumeta   Viechtbauer, Wolfgang (SP)
• [R-meta] Difference between univariate and multivariate parameterization   Viechtbauer, Wolfgang (SP)
• [R-meta] Difference between univariate and multivariate parameterization   Viechtbauer, Wolfgang (SP)
• [R-meta] Meta-regression in network meta-analysis   Viechtbauer, Wolfgang (SP)
• [R-meta] Difference between univariate and multivariate parameterization   Viechtbauer, Wolfgang (SP)
• [R-meta] Difference between univariate and multivariate parameterization   Viechtbauer, Wolfgang (SP)
• [R-meta] Difference between univariate and multivariate parameterization   Viechtbauer, Wolfgang (SP)
• [R-meta] Difference between "GEN" and "UN" in metafor   Viechtbauer, Wolfgang (SP)
• [R-meta] Standardized response mean   Viechtbauer, Wolfgang (SP)
• [R-meta] I2 for a multilevel model with subsets   Viechtbauer, Wolfgang (SP)
• [R-meta] escalc error interpretation   Viechtbauer, Wolfgang (SP)
• [R-meta] correlation between pre and post test?   Viechtbauer, Wolfgang (SP)
• [R-meta] Publication bias with multivariate meta analysis   Viechtbauer, Wolfgang (SP)
• [R-meta] Demonstrations on metafor website   Viechtbauer, Wolfgang (SP)
• [R-meta] MLMA - shared control group   Viechtbauer, Wolfgang (SP)
• [R-meta] Publication bias with multivariate meta analysis   Viechtbauer, Wolfgang (SP)
• [R-meta] MLMA - shared control group   Viechtbauer, Wolfgang (SP)
• [R-meta] Model with intercept gives 0 heterogeneity but without intercept is ok   Viechtbauer, Wolfgang (SP)
• [R-meta] Model with intercept gives 0 heterogeneity but without intercept is ok   Viechtbauer, Wolfgang (SP)
• [R-meta] Model with intercept gives 0 heterogeneity but without intercept is ok   Viechtbauer, Wolfgang (SP)
• [R-meta] MLMA - shared control group   Viechtbauer, Wolfgang (SP)
• [R-meta] Standardized response mean   Hazel Wellington
• [R-meta] Publication bias with multivariate meta analysis   Huang Wu
• [R-meta] correlation between pre and post test?   YA
• [R-meta] correlation between pre and post test?   YA
• [R-meta] correlation between pre and post test?   YA
• [R-meta] correlation between pre and post test?   YA

Last message date: Tue Aug 31 21:36:43 CEST 2021
Archived on: Tue Aug 31 21:47:18 CEST 2021

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